Fahrmeir

Fahrmeir: Data from the book ”Multivariate Statistical Modelling Based on Generalized Linear Models”, first edition, by Ludwig Fahrmeir and Gerhard Tutz. Data and functions for the book ”Multivariate Statistical Modelling Based on Generalized Linear Models”, version 1, by Ludwig Fahrmeir and Gerhard Tutz


References in zbMATH (referenced in 103 articles )

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  1. Kalema, George; Molenberghs, Geert; Kassahun, Wondwosen: Second-order generalized estimating equations for correlated count data (2016)
  2. Weiß, Christian H.; Schweer, Sebastian: Bias corrections for moment estimators in Poisson INAR(1) and INARCH(1) processes (2016)
  3. Pupashenko, Daria; Ruckdeschel, Peter; Kohl, Matthias: $L_2$ differentiability of generalized linear models (2015)
  4. Cordeiro, Gauss M.; Botter, Denise A.; Cavalcanti, Alexsandro B.; Barroso, Lúcia P.: Covariance matrix of the bias-corrected maximum likelihood estimator in generalized linear models (2014)
  5. Das, I.; Mukhopadhyay, S.: On generalized multinomial models and joint percentile estimation (2014)
  6. Groll, Andreas; Tutz, Gerhard: Variable selection for generalized linear mixed models by $L_1$-penalized estimation (2014)
  7. Moysiadis, Theodoros; Fokianos, Konstantinos: On binary and categorical time series models with feedback (2014)
  8. Anderson, Carolyn J.: Multidimensional item response theory models with collateral information as Poisson regression models (2013)
  9. Bry, X.; Trottier, C.; Verron, T.; Mortier, F.: Supervised component generalized linear regression using a PLS-extension of the Fisher scoring algorithm (2013)
  10. Gannaz, Irène: Wavelet penalized likelihood estimation in generalized functional models (2013)
  11. Haller, Bernhard; Schmidt, Georg; Ulm, Kurt: Applying competing risks regression models: an overview (2013)
  12. Lambert, Philippe: Nonparametric additive location-scale models for interval censored data (2013)
  13. Rijmen, Frank; Jeon, Minjeong: Fitting an item response theory model with random item effects across groups by a variational approximation method (2013)
  14. DeCarlo, Lawrence T.: On a signal detection approach to $m$-alternative forced choice with bias, with maximum likelihood and Bayesian approaches to estimation (2012)
  15. Desmond, A.F.; Cíntora González, Carlos L.; Singh, R.S.; Lu, Xuewen: A mixed effects log-linear model based on the Birnbaum-Saunders distribution (2012)
  16. Fabio, Lizandra C.; Paula, Gilberto A.; de Castro, Mário: A Poisson mixed model with nonnormal random effect distribution (2012)
  17. Fokianos, Konstantinos: Comments on: some recent theory for autoregressive count time series (2012)
  18. Fokianos, Konstantinos; Tjøstheim, Dag: Nonlinear Poisson autoregression (2012)
  19. Lombardía, María José; Sperlich, Stefan: A new class of semi-mixed effects models and its application in small area estimation (2012)
  20. Meintanis, Simos G.; Einbeck, Jochen: Goodness-of-fit tests in semi-linear models (2012)

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